Hagihara, Hiromichi Yamamoto, Nozomi Meng, Xianwei Sakata, Chifumi Wang, Jue Watanabe, Ryoichi Moriguchi, Yusuke
Published in
Scientific Reports
The COVID-19 pandemic has led children to experience school closures. Although increasing evidence suggests that such intense social quarantine influences children’s social relationships with others, longitudinal studies are limited. Using longitudinal data collected during (T1) and after (T2) intensive school closure and home confinement, this stu...
Plebani, Emanuele Biscola, Natalia P. Havton, Leif A. Rajwa, Bartek Shemonti, Abida Sanjana Jaffey, Deborah Powley, Terry Keast, Janet R. Lu, Kun-Han Dundar, M. Murat
...
Published in
Scientific Reports
Axonal characterizations of connectomes in healthy and disease phenotypes are surprisingly incomplete and biased because unmyelinated axons, the most prevalent type of fibers in the nervous system, have largely been ignored as their quantitative assessment quickly becomes unmanageable as the number of axons increases. Herein, we introduce the first...
Kim, Yeongshin Kim, Jaenyeon Son, Minsoo Lee, Jihyeon Yeo, Injoon Choi, Kyu Yeong Kim, Hoowon Kim, Byeong C. Lee, Kun Ho Kim, Youngsoo
...
Published in
Scientific Reports
Alzheimer disease (AD) is a leading cause of dementia that has gained prominence in our aging society. Yet, the complexity of diagnosing AD and measuring its invasiveness poses an obstacle. To this end, blood-based biomarkers could mitigate the inconveniences that impede an accurate diagnosis. We developed models to diagnose AD and measure the seve...
Yang, Jinpo Zhang, Anran Luo, Huan Ma, Chao
Published in
Scientific Reports
Osteosarcoma (OS) is the most common type of primary malignant bone tumor. The high-throughput sequencing technology has shown potential abilities to illuminate the pathogenic genes in OS. This study was designed to find a powerful gene signature that can predict clinical outcomes. We selected OS cases with gene expression and survival data in the ...
Jordan, S. Caroline Hall, Pamela R. Daly, Seth M.
Published in
Scientific Reports
Staphylococcus aureus is an opportunistic, pathogenic bacteria that causes significant morbidity and mortality. As antibiotic resistance by S. aureus continues to be a serious concern, developing novel drug therapies to combat these infections is vital. Quorum sensing inhibitors (QSI) dampen S. aureus virulence and facilitate clearance by the host ...
Fatehi, Farzad Bingham, Richard J. Stockley, Peter G. Twarock, Reidun
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Scientific Reports
Hepatitis B virus (HBV) is a global health threat, and its elimination by 2030 has been prioritised by the World Health Organisation. Here we present an age-structured model for the immune response to an HBV infection, which takes into account contributions from both cell-mediated and humoral immunity. The model has been validated using published p...
Cho, Hyung-jin Yoo, Ju-hwan Kim, Mi-hyeong Ko, Kyung-jai Jun, Kang-woong Han, Kyung-do Hwang, Jeong-kye
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Scientific Reports
Abdominal aortic aneurysm (AAA) and dementia have similar epidemiological profiles and common pathogenic mechanisms. However, there have been few studies on the link between these two diseases. For this study, information from 2009 to 2015 was extracted from the Korean National Health Insurance system database. A total of 15,251 participants with a...
Endo, Marina Tsunoda, Shigemi Tawara, Hirosuke Abe, Hisayuki Kaneko, Takehito
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Scientific Reports
Psuedopregnancy for embryo transfer (ET) is usually induced in rats by mating with vasectomized males. Previously, we successfully induced pseudopregnancy using sonic vibration instead (Easy-ET method). The transferred embryos developed normally. Conventionally, stimulation is performed 7 × 30 s with 5 min intervals at the day before ET. However, t...
Morley, Mike W. Goldberg, Paul Uliyanov, Vladimir A. Kozlikin, Maxim B. Shunkov, Michael V. Derevianko, Anatoly P. Jacobs, Zenobia Roberts, Richard G.
Published in
Scientific Reports
Güsten, Jeremie Berron, David Düzel, Emrah Ziegler, Gabriel
Published in
Scientific Reports
Most current models of recognition memory fail to separately model item and person heterogeneity which makes it difficult to assess ability at the latent construct level and prevents the administration of adaptive tests. Here we propose to employ a General Condorcet Model for Recognition (GCMR) in order to estimate ability, response bias and item d...